ADad 2: the validation of the Screen for Child Anxiety Related Emotional Disorders for Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVE: Screen for Child Anxiety Related Emotional Disorders (SCARED), a measure found useful in different settings and cultures has not been validated in the subcontinent. This study validated this measure for identifying Anxiety Disorder (AD) among adolescents in an Indian community context. METHODS: Five hundred adolescents were assessed with SCARED and DSM-IV-TR reference standard for diagnosis of AD. The interviewers were experienced raters who were further trained to interview participants using Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime Version (K-SADS-PL). Sensitivity, specificity, likelihood ratios and predictive values for various SCARED cut-off scores were calculated. Test-retest reliability and inter-rater reliability of SCARED were examined. The dichotomized SCARED score was correlated with the DSM-IV-TR clinical diagnosis of AD to establish the criterion validity of SCARED as a measure of AD. RESULTS: A SCARED total score of ≥21(Sn = 84.62%, Sp = 87.36%; AUC = 90%) is suggested for diagnostic use in Indian population. Specific threshold scores were identified for the Panic Disorder, Generalized Anxiety Disorder, Separation Anxiety Disorder and Social Anxiety Disorder subscales. The inter-rater reliability (ICC = 0.87) and test-retest reliability (ICC = 0.90) for SCARED is good. Besides the adequate face and content validity, SCARED demonstrates good internal consistency (Cronbach's α = 0.89) and item-total correlation. There is a high concordance rate with the reference standard, DSM-IV-TR diagnosis [81%; Cohen's κ = 0.42 (95% CI = 0.31 to 0.52); P = 0.001] in classifying AD. CONCLUSIONS: SCARED has adequate psychometric properties and is now available for clinical and research work in India.

ADad 6: the predictive factors for Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVE: Development of Anxiety Disorders (AD) among adolescents is the interplay of risk and protective factors that have a biological and environmental basis. This study documents the predictive factors associated with the presence of AD among adolescents in India. METHODS: The authors prospectively collected data for 500 adolescents in a community with independent, trained raters. Data on the dependent variable of AD and its subtypes was collected with Screen for Child Anxiety Related Emotional Disorders (SCARED), Socio-economic status with Modified Kuppuswamy Scale, depression with Beck Depression Inventory and the other independent variables with a specially designed proforma. The predictive factors for the presence of AD were analyzed with univariate and multivariate regression analyses appropriately, and a parsimonious predictive model was built. RESULTS: Gender (adjusted OR = 1.96), and presence of Depressive Disorder (adjusted OR = 24.14) emerged as independent risk factors. Level of education came-out as a protective factor (adjusted OR = 0.66). Adolescent girls were at risk of developing Separation Anxiety Disorder (SeAD) (adjusted OR = 3.51) and Social Anxiety Disorder (SoAD) (adjusted OR = 1.69). Level of education had a protective influence on SeAD (adjusted OR = 0.39) and SoAD (adjusted OR = 0.59) among those doing high school. This protective effect increased if they were in higher-secondary school for SeAD (adjusted OR = 0.21) and SoAD (adjusted OR = 0.22). In the multivariate model age of the adolescent also gained significance and the 3-factor model had a good model fit. Panic Disorder and Generalized Anxiety Disorder were not related to any specific variable. CONCLUSIONS: Identifying the factors associated with AD and the subtypes can be used to predict, prevent or treat these disorders in this population. Educating adolescent girls to higher-secondary school level seem to be an important step in this direction.

ADad 8: School Phobia and Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVE: School Phobia (SP), although is not a formal psychiatric diagnosis, is widely prevalent debilitating phenomenon with a gamut of underlying psychiatric conditions in an overwhelming majority of cases. This study documents the prevalence, symptom presentation and the relationship between the various subtypes of Anxiety Disorders (AD) and School Phobia. METHODS: In a prospective community survey of 500 adolescents, independent raters administered the Screen for Child Anxiety Related Emotional Disorders and Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime to identify SP and subtype of AD respectively. Descriptive statistics for the prevalence and symptom presentation, Spearman's Correlation test, Independent t tests, on-way ANOVA and Chi-square tests were done to compare the prevalence and severity of School Phobia among various age groups and gender. Univariate and multivariate analyses were done for documenting the relationship between the School Phobia and Anxiety Disorders. RESULTS: School Phobia was noted in 4.8% of adolescents. Although age was related to SP, gender, school grade the adolescent was attending and family structure were not related to SP. Somatic symptoms were more often noted than cognitive-emotional symptoms among adolescents with SP. Panic Disorder (OR = 8.62), Social Anxiety Disorder (OR = 8.63), and Separation Anxiety Disorder (OR = 6.26), were significantly related to SP. CONCLUSIONS: School Phobia is noted in a significant proportion of adolescents in the community. Anxiety Disorder is a major underlying factor resulting in SP. Community and clinical intervention and service models should include anxiety alleviation methods in adolescents with School Phobia.

ADad 3: the epidemiology of Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVES: Despite being the most common mental health concern, there is paucity of literature on the epidemiology of anxiety disorders among the adolescent population in India. This study aimed to estimate the period prevalence of Anxiety Disorders (AD) among 11 to 19 y old adolescents in India. METHODS: A representative sample of adolescents (N = 500) from a rural community in Southern India was assessed for the period prevalence of all and specific Anxiety Disorders using Screen for Child Anxiety Related Emotional Disorders (SCARED), and confirmed in a subsequent interview with Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime Version (K-SADS-PL). RESULTS: The prevalence for all AD using the international, Indian SCARED cut-offs and DSM-IV-TR criteria was 8.6 % (boys = 2%; girls = 6.6%), 25.8% (boys = 6.6%; girls = 19.2%) and 14.4 % (boys = 4.8%; girls = 9.6%) respectively. There were significant gender differences in the prevalence for all Anxiety Disorders (χ (2) = 3.61, df = 1; P < 0.05), Separation Anxiety Disorder (χ (2) = 22.27, df = 1; P < 0.001) and Social Anxiety Disorder (χ(2) = 4.29, df = 1; P < 0.03). Significant age difference in the prevalence of Panic Disorder (χ(2) = 10.32; df = 1; P = 0.00) and Generalized Anxiety Disorder (χ(2) = 5.87; df = 1; P = 0.05) was noted. CONCLUSIONS: The prevalence of Anxiety Disorders in South Indian adolescents was higher than found in the western literature. Prevalence of specific AD was age and gender specific. Adolescent and mental health policies must integrate anxiety disorder of public health significance.

ADad 5: the co-morbidity in Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVE: Anxiety Disorders (AD) have been known to have high prevalence of intra-AD and extra-AD co-morbidities. This study documents the prevalence and profile of intra and extra-AD co-morbidities, the effect of the presence and number of co-morbidities on the severity of anxiety symptoms and the influence of age as well as gender on the co-morbidity. METHODS: In a prospective community survey of 500 adolescents, independent raters administered the Screen for Child Anxiety Related Emotional Disorders (SCARED) and Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime Version (K-SADS-PL) to collect the required data. Descriptive statistics, independent t tests, one-way ANOVA and Chi-square tests were done to evaluate the prevalence and profile of co-morbidity presentation, compare the effect of co-morbidity on severity of anxiety symptoms as well as analyse the influence of age groups and gender on intra-AD co-morbidities. RESULTS: Among those with AD, 14.2% had a DSM-IV-TR intra-AD co-morbidity and 70% had SCARED based intra-AD co-morbidity. Adolescents with Separation Anxiety Disorder and Generalised Anxiety Disorder had the highest SCARED and DSM-IV-TR prevalence of intra-AD co-morbidity respectively. Also, 23.7% had overlapping extra-AD co-morbidity. Presence and number of intra-AD co-morbidity was significantly associated with severity of total anxiety score and subscale scores (all with P = 0.001). Age and gender of adolescents were not related to the co-morbidity. CONCLUSIONS: Intra and extra-AD co-morbidities are quite prevalent among adolescents with Anxiety Disorders in India. As such, co-morbidities increase the severity of anxiety symptoms, they should be identified and appropriate management should be established.

ADad 7: Relationship between depression and Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVES: Anxiety Disorders (AD) often co-exist with the heterotypic co-morbidity of Major Depressive Disorder (MDD) and Dysthymia (DysD). This study documents the prevalence of concurrent Depressive Disorder and its subtypes among AD, relationship between specific AD and Depressive Disorders, influence of severity of Depressive Disorders (DD) on AD and vice-versa, as well as the effect of age and gender on this co-morbidity. METHODS: In a prospective community survey of 500 adolescents, independent raters administered the Screen for Child Anxiety Related Emotional Disorders, Beck Depression Inventory and Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime Version to collect the required data. Descriptive statistics, Independent t tests and Chi-square tests were done to evaluate the prevalence of concurrent Depressive Disorders among AD, relationship between specific AD and Depressive Disorders, severity of DD, and effect of age and gender on this co-morbidity. RESULTS: Depressive Disorders were concurrently present in 23.7% of adolescents with AD, while 13.9% had concurrently only MDD, 8.3% had only DysD and 1.5% had both. More adolescents with AD had multiple mood disorders than otherwise. Twenty percent of adolescents with Panic Disorder, 12.1% with Generalised anxiety Disorder, 5.3% with Separation Anxiety Disorder and 12% with Social Anxiety Disorder had Depressive Disorders. Dysthymic disorder was statistically significantly more among those with PD (P = 0.009). Depressive Disorders were more severe among those with AD (P = 0.001) and the AD was more severe in those with DD (P = 0.01). As the severity of AD increased the severity of the DD also increased (P = 0.001). While DD were more prevalent among the late adolescence (P = 0.001), gender did not have any influence. CONCLUSIONS: The two-way overlap between AD and DD is prevalent. Adolescents with Anxiety Disorders should be screened for Depressive Disorders, and when present should be treated.

ADad 4: the symptomatology and clinical presentation of Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVES: Anxiety Disorders (AD) in children and adolescents present with unique clinical features and exhibit phenotypic diversity. The symptom presentation varies with regard to age of onset, developmental factors and gender. This study documents the clinical presentation of AD among adolescents in India, and explores the symptom clusters among the different age groups as well as gender. METHODS: Five hundred adolescents aged between 11 and 19 y from Pattanakad ICDS block, of Allapuzha district in Kerala were recruited and assessed using the self-rated Screen for Child Anxiety Related Emotional Disorders (SCARED) questionnaire to identify symptom clusters of anxiety and this was followed by confirmation of the diagnosis using DSM-IV TR within a week. Anxiety symptom clusters and severity (obtained from continuous SCARED scores) were compared between early, middle and late adolescence subgroups as well as between sexes. RESULTS: The most predominant anxiety symptoms across the subtypes were the anxious mood, which was noted in 12.60% followed by cognitive symptoms in 9.94% of the cases and finally physical symptoms in 9.22% of the study sample. The symptom clusters varied among the subtypes with anxious mood being commoner in Panic Disorder (PD), cognitive symptoms in Generalised Anxiety Disorder (GAD) and physical symptoms were prominent among Separation Anxiety (SeAD) and Social Anxiety Disorders (SoAD). The severity of anxiety disorder in general and its various subtypes were mostly of mild intensity although significant proportion had a severe form of the disease(s). The severity of the AD among girls was statistically significantly higher than boys (P = 0.02). There was no significant difference on symptom frequency or anxiety severity with regard to age. CONCLUSIONS: Understanding of age appropriate presentation of anxiety symptoms may help in streamlining the treatment guidelines and yield a better estimate of the disease process.

Adolescent suicide: characterizing the need and identifying the predictive factors for preventive consultation or hospitalization in a rural community setting.

BACKGROUND: Studies from India consistently document the highest suicide rates in the world, and the majority of completed suicides had been within adolescents. OBJECTIVE: To characterize the need and identify the predictive factors for preventive consultation or hospitalization for adolescent suicide in a community setting. SUBJECTS: We prospectively collected data from 500 adolescents in a rural South Indian community with independent, trained raters. METHODS: The need for suicide prevention was measured with the SAD PERSONS scale, socio-economic status with the Modified Kuppusamy Scale, depression and anxiety disorders with the Beck Depression Inventory and the Screen for Child Anxiety Related Emotional Disorders, respectively. The relationship between predictors and the need for preventive action was analyzed with univariate and multivariate regression analyses and a predictive model was built. RESULTS: Of those investigated, 2% and 0.6% required emergency consultation and hospitalization, respectively. Males needed more preventive action (p=0.04). Age (OR=3.40, p=0.07), gender (OR=3.13, p=0.05), presence of anxiety (OR=16.35, p=0.001), or depressive (OR=42.59, p=0.001) disorder independently predicted a need for protective action and, together, contributed to a parsimonious predictive model. CONCLUSIONS: The majority of adolescents in the community do not require preventive steps to address suicide risk. These predictors could identify the high-risk adolescents for suicide prevention and reduce the burden of care in the community.